Naim Rashid, PhD
Naim Rashid is a research assistant professor in the Department of Biostatistics and the Lineberger Comprehensive Cancer Center at the University of North Carolina – Chapel Hill. His area of research focus concerns the development of statistical and computational methods for the analysis of high dimensional genomic data in cancer, primarily those generated by various types of high throughput sequencing experiments. He also engages in collaborative studies at the Lineberger Comprehensive Cancer Center, working with physicians and researchers on problems relating to genomics and clinical studies. Prior to coming to UNC, he was a postdoctoral research fellow in the Department of Biostatistics at Harvard School of Public Health and in the Department of Biostatistics and Computational Biology at the Dana Farber Cancer Institute.
Honors and AwardsBarry H. Margolin Dissertation Award (for best doctoral dissertation completed in 2013)
2013, University of North Carolina at Chapel HillTraining Grant recipient
2006-2011, Genomics and Cancer
Intermediate Linear Models (BIOS 663), Spring 2016, 2017
High Throughput Sequencing
High Dimensional Data Analysis
Dr. Rashid's area of interest is statistical methods development for the analysis of genomic data, primarily those generated by various types of high throughput sequencing experiments. Related to this is the development of software and analysis pipelines to facilitate the application of such statistical methods. He is also involved in collaborative studies at the Lineberger Comprehensive Cancer Center, working with physicians and researchers on genomic studies.
2017- Genomics Joint Group Meeting (organizer), Department of Biostatistics
2016- Computing Committee, Department of Biostatistics
2016- Masters Examinations Applications Subcommittee, Department of Biostatistics
2015- Protocol Review Committee, Lineberger Comprehensive Cancer Center
2015- Doctoral Examinations Applications Subcommittee, Department of Biostatistics
2017- Faculty Council, Gillings School of Global Public Health Representative
Differential and limited expression of mutant alleles in multiple myeloma. Rashid, N.U. Sperling, A.S. Bolli, N. Wedge, D.C. Van Loo, P Tai, Y.T. Shammas, M.A. Fulciniti, M. Samur, M.K. Richardson, P.G. Magrangeas, F. Minvielle, S. Futreal, P.A. Anderson, K.C. Avet-Loiseau, H. Campbell, P.J. Parmigiani, G. Munshi, N.C. (2014). Blood, 124(20), 3110–3117.
Some statistical strategies for DAE-seq data analysis: variable selection and modeling dependencies among observations. N.U. Rashid, W. Sun, and J.G. Ibrahim (2014). Journal of the American Statistical Association, 109(505), 78–94.
ZINBA integrates local covariates with DNA-seq data to identify broad and narrow regions of enrichment, even within amplified genomic regions. N.U. Rashid, P.G. Giresi, J.G. Ibrahim, W. Sun, and J.D. Lieb (2011). Genome Biology, 12(7), R67.
Virtual microdissection identifies distinct tumor and stroma specific subtypes of pancreatic ductal adenocarcinoma. R. A. Moffitt, R. Marayati, E. L. Flate, K. E. Volmar, S. G. H. Loeza, K. A. Hoadley, N.U. Rashid, L. A. Williams, S. C. Eaton, A. H. Chung, et al. (2015). Nature genetics, 47(10), 1068.
Mammalian period represses and derepresses transcription by displacing clock–bmal1 from promoters in a cryptochrome dependent manner. Y.-Y. Chiou, Y. Yang, N.U. Rashid, R. Ye, C. P. Selby, and A. Sancar (2016). Proceedings of the National Academy of Sciences.
PhD, Biostatistics, University of North Carolina at Chapel Hill, 2013
BS, Biology, Duke University, 2006